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Automatic CFAR Ship Detection in Synthetic Aperture Radar Imagery

by [Madjidi, Hicham, Laroussi, Toufik]

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Description

In this research, we address the problem of automatic ship detection acquires from SAR (Synthetic Aperture Radar) images in complex marine environments. Assuming a non-Gaussian sea clutter with no prior knowledge about the presence or not of any clutter edge and/or interfering targets in the sliding reference window, we propose and analyze the detection performances of three CFAR (Constant False Alarm Rate) detectors in homogeneous and heterogeneous Log-normal or Weibull sea clutter.

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Product Details

  • LAP Lambert Academic Publ Brand
  • Sep 20, 2024 Pub Date:
  • 9786207809516 ISBN-13:
  • 6207809513 ISBN-10:
  • English Language
  • 9 in * 0.46 in * 6 in Dimensions:
  • 1 lb Weight: